Analysis of health informatics and bioinformatics connectivity modeling

Abstract

Health informatics and bioinformatics are closely linked, but the overlapping literature search rate of the analysis methods is low due to the connectivity analysis model. Therefore, a health informatics and bioinformatics connectivity modeling analysis based on a delay-tolerant network routing algorithm is proposed. The analysis is conducted for the topics of both health informatics and bioinformatics disciplines, and a reasonable design of citation measures is designed. The first step in describing the connection between the two disciplines using citation analysis is to extract multidimensional descriptive vectors for the disciplines as a basis for connectivity analysis. The connectivity analysis model is designed with the core of the tolerance network routing algorithm to determine the connectivity of disciplines by detecting the citation overlap between two disciplines. Finally, the connectivity is described by outputting the co-occurrence knowledge structure between disciplines through co-occurrence analysis. The experimental results show that the proposed method improves the completeness rate by 36.6% and 39.2% compared with the conventional connectivity modeling analysis method, which indicates that the proposed method reveals more comprehensive connectivity analysis results.